Forward Deployed Engineer - Agentforce Operations (Regrillo)

Salesforce
Sydney
Workplace: HybridFull timeFunction: Software EngineeringSkills: []

Design, construct, and deploy enterprise-grade agentic AI solutions inside customer environments. Build agentic workflow orchestration with multi-agent communication, implement Model Context Protocol (MCP), and architect real-time RAG grounding infrastructure. Develop and maintain APIs and integration pipelines connecting Agentforce Operations to data platforms and ERPs, while shipping telemetry/observability and ETL/ELT pipelines. Bridge frontline deployments back to core Salesforce teams.

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FursaFursa
Salesforce
Salesforce
2 hours ago

Forward Deployed Engineer - Agentforce Operations (Regrillo)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, construct, and deploy enterprise-grade agentic AI solutions inside customer environments. Build agentic workflow orchestration with multi-agent communication, implement Model Context Protocol (MCP), and architect real-time RAG grounding infrastructure. Develop and maintain APIs and integration pipelines connecting Agentforce Operations to data platforms and ERPs, while shipping telemetry/observability and ETL/ELT pipelines. Bridge frontline deployments back to core Salesforce teams.
Location: Sydney
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build, configure, and optimize complex operational workflows using Agentforce Operations (Regrello), defining agent reasoning, tool-calling logic, and conditional execution loops.
  • •Implement agent-to-agent communication protocols, including the Model Context Protocol (MCP), for context sharing, task hand-offs, and tool execution.
  • •Architect, build, and maintain real-time data grounding infrastructure using RAG, vector databases, search indexes, and knowledge bases to supply enterprise context to agents.
  • •Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting Agentforce Operations to Salesforce Data Cloud and data warehouses (Snowflake, Databricks) and ERPs (SAP, Oracle, NetSuite) via MuleSoft or middleware.
  • •Ship telemetry and observability by modeling data and building real-time agent performance dashboards, ETL/ELT pipelines, and fallback triggers—while feeding edge cases back to Salesforce product and engineering teams.
Travel: Medium travel

Key Requirements

  • •7+ years of professional experience.
  • •Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
  • •Practical experience with API design and agent protocols such as MCP, tool calling, or event-driven messaging architectures.
  • •Expertise in process orchestration and API-led connectivity using MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
  • •Familiarity with automation platforms and integrated enterprise applications, plus a willingness to travel 25-30% for on-site deployment with key enterprise accounts.
Experience:AIEnterprise softwareSupply chain
Tech Stack:Agentforce Operations (Regrello)AgentforceMCPRAGRetrieval-Augmented GenerationVector databasesVector searchSearch indexesKnowledge basesRESTGraphQLWebhooksETLELTCursorClaudeVibesMuleSoftSalesforce Data CloudData 360

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor